Engineer AI

Scientists have been able to engineer AI Doctors for a couple of years now, such as IBM Watson’s cardiologist AI, for example, identify algorithms, and potentially informs a patient of their disease. After that, a chatbot feature advices them thusly, on treating their condition. These AI-powered engineer doctors hold the key to self-diagnoses, and can dispense advice, almost as efficiently as any doctor could. Engineer AI To Fight A Pandemic Governments are in a fix, as we speak, as the looming threat of a Coronavirus outbreak (now pandemic), is threatening the safety of every nation state on the planet. Studies, like the one done at MIT, have demonstrated the potential of a “Robot Doctor” – an Artificial Intelligence that can do the same tasks as a Doctor, albeit with fewer mistakes! Artificial Intelligence, or the tasks we engineer AI for, have drastically seen a shift of pace in the last few years. A lot of them appear to be merely sorting tools, but their real potential is

Artificial Intelligence surpasses mere buzzword status, and rises to a level of universality. Humans have managed to engineer AI that can achieve a vast array of possibilities. From the field of robotics, to cybersecurity – professionals engineer AI to be used in various systems, for a better, more effortless functionality. Artificial intelligence has been used to alleviate cumbersome activities, which have been traditionally done through low skilled labour. One of the most rapid growth, is within the field of healthcare – especially now, as the globe is experiencing a crunch in manpower because of the coronavirus (Covid-19) epidemic. Engineering AI For Pandemic Response Within the field of AI, we have been able to engineer better machines, expediting the field towards advancement in the process. By 2030, the field of Artificial Intelligence and Machine Learning will have permeated every industry currently in existence. Healthcare is the most obvious example in this regard. S

A glance back at the advancement made in building a different and comprehensive working environment up until now. The average employee will spend almost 90,000 hours over their life at their place of work. For some, this naturally promotes a sense of belonging towards the company, becoming a driving force for continually improving their performances. However, over the past few years, establishments have begun to realize that not all employees can cultivate a deep relationship with their workplace due to several internal or external factors. However, one thing is certain, the subject of diversity and inclusion has become a central point of every discourse on workplace culture, and companies are therefore focusing on creating a proressive atmosphere to amplify the intangible value they offer to their employees. Engineer.ai Co-founder said we can attribute the initiation of the diversity revolution to issues like gender disparity in allowing equal work and pay opportunity. Organi

Sachin Dev Duggal, CEO and co-founder, Engineer.ai Engineer.ai founder said "Our platform 'Builder' provides a solution to operate, manage and scale their technology needs’ for any business". Creating an application can be a challenging and time-consuming exercise, and for many businesses, achieving this might not be so easy. After all one needs the right technical resources to create an app, and not every business will have a coder in its ranks. And that’s the problem that Builder.ai(formerly known as Engineer.ai) wants to solve, by offering a ready-to-go template for businesses looking to create an app, without having to bother about the coding. Builder.ai wants to make software as ‘easy as ordering pizza’ if one were to go by the tagline on their website. The company’s client base includes brands like BBC, Virgin Unite and NBC Universal. We spoke to Sachin Dev Duggal, the CEO and founder of Engineer.ai about the company and its services, and how he sees

Every once in a while, the thought of developing an app, comes across everyone’s mind. How can it not? Anybody with a smart device knows how much of shovel-ware actually exists on any given app-store – if so many people are able to push out these many applications, differing drastically in quality, what is stopping an individual from just piling on some more? Well, for one, app development happens to be a task and a half – skilled professionals might invest numerous resources into creating an app, only to see it never take off in the end. 78% of all created apps for small to medium businesses never see the light of day. This also means that the sweat and toil of so many individuals, just goes to waste without any retribution. Machine Learning however, has arrived in time to fix this. Web-based AI-assisted toolkits like Engineer.ai , and its flagship product, Builder, allow just about anybody to create an application, without learning a single line of code – all within a matter of

Venture capitalists’ long-running efforts towards launching massive funds for emerging startup segments are paying off as rounds grow larger. By the time native venture capital (VC) firm Jungle Ventures launched its newest fund (and its third in Southeast Asia), it had already pumped up its targets to $200m—significantly larger than the targets it had for its first fund in 2012: $10m. In April 2019, it successfully breached this target and closed the round with a whopping $240m. Jungle Ventures’ latest round is one of Singapore’s largest for 2019 and highlights how VC firms are pushing their funding goals further than ever. But a question remains: where does the money from these big rounds go? According to Valmiki Nair, partner at Dentons Rodyk, startups in fintech, payment services, B2B, and digital tech are getting the most attention from these funds. This is reflected in the data aggregated by Enterprise Singapore (ESG) which showed that for the first three quarters of 2019, di

Builder, an AI-enabled platform that lets anybody build apps and software without knowing how to code, has propelled Builder Now. It is a instant prototyping tool that empowers organizations bring app ideas to life within minutes. "This assists clients with venturing out structuring an application and make their business thought a reality in under 10 minutes. The tool also suggests a real-time cost and timetable for the venture based highlights and clients' necessities," said Sachin Dev Duggal, CEO and co-founder, Builder.ai ( Engineer.ai ). Its turnkey platform builds, runs and scales just about anything customers can think of, Duggal said, adding “Our human-assisted AI (artificial intelligence) can build tailor-made software using the collective knowledge of what has been built before; an assembly line connects re-usable features with specialist creators.” This does not require any technical knowledge to build a dream application. “Our platform essentially has an int

Farnell has published new research on the IoT which confirms strong adoption of Artificial Intelligence within IoT devices, alongside new insights on key markets, enablers and concerns for design engineers working in Internet of Things. AIoT is the major emerging trend from the survey, demonstrating the beginning of the process to build a true Internet of Things ecosystem. Research showed that almost half (49%) of respondents already use Artificial Intelligence in their IoT applications, with Machine Learning the most used technology (28%) followed by cloud-based Artificial Intelligence (19%). This adoption of Artificial Intelligence within IoT design is coupled with a growing confidence to take the lead on IoT development and an increasing number of respondents seeing themselves as innovators. However, it is still evident that some engineers (51%) are hesitant to adopt AI due to being new to the technology or because they require specialized expertise in how to implement AI in Io